Project Description

ASVspoof Database Interface for Bob

This package is part of the signal-processing and machine learning toolbox
Bob. It contains a Bob-based access API for the ASVspoof Database. The
database has been used in the first Automatic Speaker Verification Spoofing and
Countermeasures Challenge (ASVspoof 2015). Genuine speech is collected from 106
speakers (45 male, 61 female) and with no significant channel or background
noise effects. Spoofed speech is generated from the genuine data using a number
of different spoofing algorithms. The full dataset is partitioned into three
subsets, the first for training, the second for development, and the third for
evaluation. More details can be found in the evaluation plan in the summary
paper: